An adversary can deploy parasitic sensor nodes into wireless sensor networks to collect radio traffic distributions and trace back messages to their source nodes. Then, he can locate the monitored targets around the source nodes with a high probability. In this paper, a Source-location privacy Protection scheme based on Anonymity Cloud (SPAC) is proposed. We first design a light-weight (t, n)-threshold message sharing scheme and map the original message to a set of message shares which are shorter in length and can be processed and delivered with minimal energy consumption. Based on the shares, the source node constructs an anonymity cloud with an irregular shape around itself to protect its location privacy. Specifically, an anonymity cloud is a set of active nodes with similar radio actions and they are statistically indistinguishable from each other. The size of the cloud is controlled by the preset number of hops that the shares can walk in the cloud. At the border of the cloud, the fake source nodes independently send the shares to the sink node through proper routing algorithms. At last, the original message can be recovered by the sink node once at least t shares are received. The simulation results demonstrate that the SPAC can strongly protect the source-location privacy in an efficient manner. Moreover, the message sharing mechanism of SPAC increases the confidentiality of network data and it also brings high tolerance for the failures of sensor nodes to the data transmission process.

中文翻译：

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无线传感器网络中基于匿名云​​的源位置隐私保护


攻击者可以将寄生传感器节点部署到无线传感器网络中，以收集无线电流量分布并将消息追溯到其源节点。然后，他就能以很大的概率定位到源节点周围的监控目标。本文提出了一种基于匿名云​​（SPAC）的源位置隐私保护方案。我们首先设计一种轻量级（t，n）阈值消息共享方案，并将原始消息映射到一组长度较短且可以以最小能耗进行处理和传递的消息共享。基于共享信息，源节点在自身周围构建一个不规则形状的匿名云，以保护其位置隐私。具体来说，匿名云是一组具有相似无线电行为的活动节点，并且它们在统计上彼此无法区分。云的大小由共享可以在云中行走的预设跳数控制。在云的边界，假源节点通过适当的路由算法独立地将份额发送到汇聚节点。最后，一旦接收到至少t份，汇聚节点就可以恢复原始消息。仿真结果表明，SPAC能够有效地保护源位置隐私。而且SPAC的消息共享机制增加了网络数据的保密性，也给数据传输过程带来了对传感器节点故障的高容忍度。